Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:44.309137Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2507.07141.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:44.309137Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Kipf and Max Welling
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Towards Graph Contrastive Learning: A Survey and Beyond
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Observation b024f5f9-d87c-49a2-a223-c078559f07ff · outbound
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Hamilton, Pietro Liò, Yoshua Bengio, and R
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Deep Graph Contrastive Representation Learning
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
Reference 22
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
Reference 24
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Reference 25
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Representation Learning with Contrastive Predictive Coding
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Reference 37
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Reference 39
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Reference 40
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Pitfalls of Graph Neural Network Evaluation
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
Reference 52
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel
Reference 54
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning Unresolved cited work
Reference 55
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Reference 58
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning As outlined in the main text, we use the well-known GCL method, GRACE [18], and run it 20 times on each dataset under the default experimental settings
Reference 61
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Reference 2015
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Reference 2023
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Str-GCL: Structural Commonsense Driven Graph Contrastive Learning ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.